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Review of Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Patrick Royston and Paul C. Lambert

Author

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  • Nicola Orsini

    (Karolinska Institutet)

Abstract

In this article, I review Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model, by Patrick Royston and Paul C. Lambert (2011 [Stata Press]). Copyright 2013 by StataCorp LP.

Suggested Citation

  • Nicola Orsini, 2013. "Review of Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Patrick Royston and Paul C. Lambert," Stata Journal, StataCorp LLC, vol. 13(1), pages 212-216, March.
    • Handle: RePEc:tsj:stataj:v:13:y:2013:i:1:p:212-216
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    References listed on IDEAS

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    1. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LLC, number fpsaus, March.
    2. Mario Cleves & William W. Gould & Roberto G. Gutierrez & Yulia Marchenko, 2010. "An Introduction to Survival Analysis Using Stata," Stata Press books, StataCorp LLC, edition 3, number saus3, March.
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    1. Adeniyi Francis Fagbamigbe & Karolina Karlsson & Jan Derks & Max Petzold, 2021. "Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-16, January.
    2. Adeniyi Francis Fagbamigbe & Emma Norrman & Christina Bergh & Ulla-Britt Wennerholm & Max Petzold, 2021. "Comparison of the performances of survival analysis regression models for analysis of conception modes and risk of type-1 diabetes among 1985–2015 Swedish birth cohort," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.

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